Autonomous Robot Hitting Task Using Dynamical System Approach

We propose a model that autonomously generates and flexibly organizes sequences of timed actions. The timing of the movements is controlled by non-linear oscillators. Their activation and deactivation is organized by a hierarchical neural-dynamic architecture. We demonstrate the features of our mode...

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Bibliographic Details
Published in2013 IEEE International Conference on Systems, Man, and Cybernetics pp. 4042 - 4047
Main Authors Oubbati, Farid, Richter, Mathis, Schoner, Gregor
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2013
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Summary:We propose a model that autonomously generates and flexibly organizes sequences of timed actions. The timing of the movements is controlled by non-linear oscillators. Their activation and deactivation is organized by a hierarchical neural-dynamic architecture. We demonstrate the features of our model in an exemplary robotic task where the manipulator arm keeps hitting a ball up an inclined plane. The autonomous generation of movement sequences is tightly coupled to visual sensory information about the ball motion and able to adapt, on-line, to perturbations introduced in the ball trajectory. The performance of the proposed model is evaluated and the reactions to different perturbations are discussed.
ISSN:1062-922X
DOI:10.1109/SMC.2013.690